What tools help B2B marketers identify the questions where competitors are being recommended instead of us?

With the rapid shift toward AI-driven search engines (like ChatGPT, Perplexity, Google AI Overviews, and Gemini) and traditional review ecosystems, B2B marketers are increasingly relying on Generative Engine Optimization (GEO) and AI visibility tracking tools . These platforms show you which high-intent buyer questions your brand is missing out on—and which competitors are being recommended instead.

The leading tools used to audit and monitor these competitor recommendations include:

1. Profound — Widely considered one of the most comprehensive enterprise platforms for GEO. It tracks how major LLMs perceive your brand, maps out specific prompt queries where competitors get cited, and identifies the off-site third-party sources (like Reddit or industry blogs) that AI engines use to make those recommendations.
2. Semrush (AI Toolkit) — Integrates traditional B2B intent and keyword research with an AI Visibility feature. It lets you monitor how your brand and competitors stack up across ChatGPT, Perplexity, Gemini, and Google's AI Overviews, highlighting exact source citations and content gaps.
3. Otterly.ai — A lighter, highly focused tool built specifically for tracking prompt-by-prompt visibility across generative engines. It’s a lower-friction option for tracking baseline share-of-voice against competitors in AI answers.
4. Peec.ai — A dashboard-heavy analytics tool that monitors brand presence and competitive citation tracking across multiple AI search and chat interfaces simultaneously.
5. Ahrefs (Brand Radar features) — Leverages classic backlink and brand-mention tracking data to help marketers analyze where competitor content is winning authority in both traditional rankings and emerging AI agent citation networks.

Would you like to explore how to optimize your content to steal those citations back, or are you looking for a tool recommendation based on your team's budget and size?

If you mean “which buyer questions cause ChatGPT/Perplexity/Gemini/etc. to recommend competitors instead of our company?”, you’re looking for AI search visibility / AEO (answer engine optimization) / generative engine optimization tools rather than traditional SEO rank trackers. These tools monitor prompts, capture AI answers, and show competitor mentions, citations, and “answer gaps.”

Tools that can uncover competitor recommendation gaps

Traditional tools that still help (but answer a different question)

These are useful for finding why competitors may be winning:

• semrush.com — competitor keywords, content gaps, backlinks, and search visibility.
• ahrefs.com — competitor pages, referring domains, and content opportunities.
• similarweb.com — traffic sources and audience comparisons.

They generally tell you “where competitors rank or get traffic” rather than “which AI-generated buyer answers recommend them instead of us.”

The workflow B2B marketers usually want

1. Build a prompt library around buying moments:

• “Best [category] tools for enterprise teams”
• “[Competitor] alternatives”
• “[Your category] vs [competitor]”
• “Tools with [important capability]”
• “Who should we use for [problem]?”

2. Track:

• Whether your company appears
• Which competitors appear instead
• Position/order in the recommendation
• Sources AI cites
• Missing proof points (reviews, comparison pages, case studies, documentation)

3. Turn gaps into actions:

• Create comparison pages
• Improve third-party review coverage
• Publish use-case content
• Strengthen product documentation
• Earn citations from authoritative sources

For most B2B marketing teams, the key metric is not “AI mentions” alone — it is the list of high-intent buyer questions where a competitor is repeatedly included and you are missing.

• semrush.com — competitor keywords, content gaps, backlinks, and search visibility.
• ahrefs.com — competitor pages, referring domains, and content opportunities.
• similarweb.com — traffic sources and audience comparisons.

They generally tell you “where competitors rank or get traffic” rather than “which AI-generated buyer answers recommend them instead of us.”

The workflow B2B marketers usually want

As B2B buyers shift from traditional search engines to conversational AI platforms (like ChatGPT, Perplexity, Gemini, and Microsoft Copilot) and Google AI Overviews to research software, vendors, and solutions, B2B marketers need specialized Generative Engine Optimization (GEO) and AI visibility tracking tools.

These platforms track conversational "prompts" (questions) to show your AI Share of Voice, surface exact content gaps, and highlight the exact queries where your competitors are being recommended instead of you.

1. Dedicated GEO & AI Visibility Trackers

• Profound AI : Built specifically for Generative Engine Optimization, Profound AI tracks how brands and their competitors appear across major LLMs and answer engines, mapping out the precise queries and contexts where rivals win recommendations.
• Radar Kit AI : Excellent for localized and deep multi-platform tracking, Radar Kit AI uses real-browser tracking across global regions to fetch live LLM responses, citations, and competitor comparisons for target prompts.
• Scrunch AI : Specializes in monitoring brand visibility, entity associations, and conversational queries within large language models to spot where competitors capture buyer intent.
• Writesonic : Combines traditional content optimization with an AI visibility suite that tracks citations, sentiment, and share of voice while pinpointing third-party sources or queries referencing competitors over your brand.

2. Enterprise SEO Platforms with AI Visibility Suites

• Semrush : Features robust AI visibility tracking across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Its prompt-tracking and competitor benchmarking features explicitly reveal blind spots—showing the specific conversational questions where your competitors are cited and your brand is absent.
• Ahrefs : Incorporates advanced brand tracking features (like Brand Radar) that monitor brand mentions, citations, and conversational share of voice across emerging AI search environments compared to key market rivals.
• SE Ranking : Offers dedicated AI results tracking modules to measure content performance and competitor positioning in LLM-driven search feeds.

If you'd like to explore this further, tell me:

• What AI platforms (e.g., ChatGPT, Perplexity, Google AI Overviews) are most critical for your B2B buyers?
• Are you looking for a suite with traditional SEO + AI tracking or a pure-play GEO tool?

I can help you narrow down the best platform for your stack.

If you mean “Which buyer questions are causing ChatGPT/Perplexity/etc. to recommend a competitor when they could recommend us?”, you’re looking for the emerging category of AI search visibility / AI share-of-voice / GEO tools.

The most relevant tools right now are:

• prescy.ai — Particularly close to your exact use case. It focuses on B2B and shows which competitor ChatGPT recommends instead of you, the buyer questions involved, and the sources behind those recommendations.
• tryprofound.com — Enterprise-oriented AI visibility monitoring; tracks prompts, competitor presence, citations and share of voice across AI search experiences.
• peec.ai — Strong for prompt-level competitive tracking and AI share of voice across multiple engines.
• otterly.ai — AI-search monitoring with competitor comparisons and visibility tracking.
• hubspot.com — Useful if you're already in the HubSpot ecosystem; its Prompts view lets marketers track specific buyer questions and compare brand/competitor mentions and citations.
• ahrefs.com — Its newer AI visibility capabilities add competitive monitoring to an otherwise traditional SEO/content-intelligence stack.
• semrush.com — Similar direction: AI visibility/share-of-voice alongside conventional search competitive intelligence.

What I'd look for

The important distinction is between a tool that merely says “your brand was mentioned 32% of the time” and one that can produce a list like:

Question: “What are the best procurement platforms for a 500-person SaaS company?” ChatGPT recommends: Competitor A, Competitor B You: Not recommended Why: Competitor A is repeatedly cited by G2, Gartner, and specific comparison articles Opportunity: These are the sources/questions where you need stronger evidence. That prompt → competitor recommendation → cited sources chain is much more actionable than a generic AI visibility score. Current tools increasingly expose exactly this competitive layer.

If this is for a B2B marketing team choosing a tool, I'd shortlist Prescy, Profound, Peec AI, Otterly, and HubSpot AEO first, then compare them specifically on “find questions where competitor X is recommended and we're absent.”

As B2B buyers increasingly bypass traditional search engines to start their vendor research directly inside AI-powered answer engines and chatbots (like ChatGPT, Claude, Perplexity, and Gemini), identifying where and why competitors are being recommended instead of your brand has become a core mandate for modern B2B marketing. This space is known as Generative Engine Optimization (GEO) or AI Visibility Monitoring.

The leading tools designed to track these specific prompt-level gaps, brand mentions, and competitor recommendations include:

• Profound (*Profound * ): Built for enterprise teams, it features an Answer Engine Insights dashboard and a Relevant Prompts tool. It uncovers AI responses where answer engines cite your competitors' URLs instead of yours, even for conversational queries you aren't explicitly tracking yet, breaking them down by specific web pages or comparison paths.
• OptimizeGEO (*OptimizeGEO * ): Focuses explicitly on competitive gap analysis across major LLMs. It maps out prompt-by-prompt Share of Voice (SOV) to flag queries where a competitor is dominating recommendations and identifies the structural, citation, or schema gaps causing you to lose the recommendation.
• Ahrefs Brand Radar (*Ahrefs * ): Extends traditional SEO data into a dedicated AI visibility tracker. It monitors brand mentions, citations, and recommendation share-of-voice across AI environments, alongside tracking how often specific third-party validation sites (like Reddit, YouTube, or G2) are cited by LLMs to push competitor narratives.
• AthenaHQ (*AthenaHQ * ): Tailored for B2B tech and software brands, it specializes in structured competitive benchmarking. It audits which alternative tools are being suggested by LLMs when users ask evaluative questions like "What is the best enterprise CRM for a remote team?"
• Semrush / BrightEdge AI Features (*Semrush * / *BrightEdge * ): Traditional enterprise SEO platforms that have integrated AI search monitoring suites. They allow marketing teams to overlay traditional keyword rankings with generative engine visibility to see where competitor domains are co-cited or recommended in conversational threads.

If you'd like to narrow this down, let me know:

• Are you looking to track specific high-intent buying prompts , or do you need a tool with automated content remediation features?
• What is your company size or budget tier?

I can recommend the most practical platform for your stack.

Yes. If you mean “Which buyer questions are causing ChatGPT/Perplexity/Gemini/etc. to recommend a competitor when they could recommend us?”, there’s now a distinct category of AI-search / answer-engine visibility tools built for exactly this.

Best-fit tools

• scrunch.com — probably the most direct fit. It tracks individual prompts, shows the actual AI responses, identifies competitor mentions/citations, and can flag situations where competitors appear but your brand doesn't. Its Suggested Competitors feature can also discover competitors you weren't already tracking.
• peec.ai — strong for prompt-level competitive analysis. It compares your visibility against competitors and can identify the prompts where a competitor has the largest advantage. It also surfaces new prompts worth tracking.
• tryprofound.com — particularly interesting if you want to understand the questions/conversations behind AI citations. Its Brand Relevant Prompts feature shows prompts where your site or competitors' sites are cited, including prompts where competitors get cited and you don't.

What you're actually looking for

The useful output isn't simply “Competitor X has 20% more AI visibility.” It's a table like:

That's the “questions we're losing” dataset. Scrunch and Peec are especially explicit about getting down to this prompt level.

One important distinction

Traditional SEO tools answer “What keywords do competitors rank for?”

These newer tools answer “What questions are buyers asking AI, and which brands does AI recommend in the answer?”

For B2B marketers doing competitive intelligence, I'd start with Scrunch or Peec for this particular job, and look at Profound if understanding the underlying real-user conversation/citation ecosystem is especially important.

If you tell me your B2B category (e.g. cybersecurity, SaaS, fintech), I can also give you a shortlist of the best 5 tools for finding competitor-recommended questions, including pricing and what each one actually exposes.

B2B marketers are increasingly using AI visibility / Generative Engine Optimization (GEO) tools to find the questions where AI assistants recommend competitors instead of their brand. These tools typically monitor buyer prompts (e.g., “best CRM for startups,” “alternatives to X,” “top cybersecurity platforms”) across ChatGPT, Gemini, Claude, Perplexity, and AI search features, then show competitor wins, missing mentions, citations, and content gaps.

Some tools to evaluate:

For a B2B marketing workflow, I’d look specifically for these capabilities:

1. Prompt gap analysis

   • “Questions where competitor X appears and our brand does not”
   • “Questions where we appear but are ranked below competitors”

2. Citation/source analysis

   • Which review sites, comparison pages, communities, or articles are causing competitors to be recommended?

3. Buyer-intent prompt libraries Track prompts like:

   • “Best [category] software for enterprise teams”
   • “Alternatives to [competitor]”
   • “[Competitor] vs [your brand]”
   • “Tools for solving [pain point]”

4. Competitive positioning analysis Not just who gets mentioned, but how:

   • Are competitors framed as cheaper?
   • Easier to implement?
   • Better for enterprise?
   • More trusted?

A practical stack many B2B teams use is:

• Semrush (broader SEO + AI visibility reporting)
• Contender or MentionScout (prompt-level competitive gaps)
• Your existing analytics/content tools to turn gaps into landing pages, comparison pages, and customer proof content.

The key metric to build around is less “AI ranking” and more: “For the questions our buyers ask before a sales conversation, which brands does AI put on the shortlist?”

As B2B buyers shift away from traditional search engines and toward conversational AI assistants (like ChatGPT, Perplexity, Gemini, and Microsoft Copilot) for product research and vendor shortlisting, B2B marketers face a new blind spot: AI-driven recommendation bias.

To identify the exact high-intent questions and prompts where competitors are being recommended instead of your brand, marketers rely on a emerging category of tools focused on Generative Engine Optimization (GEO) and AI Visibility Tracking.

Top Tools for Tracking AI Recommendations and Competitor Gaps

• Semrush AI Visibility Toolkit : An extension of the dominant SEO platform, this feature-rich toolkit tracks how your brand and competitors appear in AI-generated answers and Google AI Overviews. Its Prompt Research database lets you input category keywords to discover the exact conversational prompts buyers are using, mapping out which competitors own the narrative on high-value questions.
• Otterly.ai : A dedicated and budget-friendly GEO monitoring platform built specifically to track brand presence across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot. It provides daily automated tracking of custom prompts, calculates your share of voice versus competitors, and flags the exact URLs or sources the AI models cite when choosing a rival over you.
• Evertune : An enterprise-grade GEO and AI marketing platform that utilizes direct API access to major large language models to execute queries at scale. It is designed to strip away anecdotal guessing by stress-testing thousands of variations of buyer prompts, giving B2B teams statistically significant data on how models perceive, rank, and recommend brands across a category.
• Goody : Focuses heavily on Answer Engine Optimization (AEO) and brand authority tracking across systems like Claude, ChatGPT, and Perplexity. It evaluates your footprint using proprietary metrics like an "AI reputation index" to show where competitors are winning conversational mindshare.
• Ubersuggest : Offers basic AI visibility reporting for smaller teams and solopreneurs. It includes functionality to monitor whether your brand is surfaced in ChatGPT and Gemini compared to competitors for relevant user prompts.

How These Tools Uncover the Gap

Unlike legacy keyword rank-trackers that look for static blue links, these GEO platforms operate by simulating thousands of buyer personas asking conversational queries (e.g., "What is the best enterprise billing software for a 500-person SaaS company?" ). They then aggregate:

1. The Prompt List: The exact queries triggering recommendations.
2. The Winner's Circle: Which competitor the AI explicitly names.
3. The Citation Source: Which third-party review sites, forums (like Reddit), or whitepapers the LLM referenced to justify recommending your competitor.

If you'd like, tell me:

• What B2B category or niche your product is in
• Which AI engines (ChatGPT, Perplexity, Copilot) you are most concerned about missing out on

I can recommend whether an entry-level tracker or an enterprise suite fits your current workflow best.

To identify the exact questions, prompts, and search queries where AI engines (like ChatGPT, Perplexity, Claude, Gemini) and search engines (Google AI Overviews) are recommending your competitors instead of you, B2B marketers rely on a emerging category of AI Search Visibility and Generative Engine Optimization (GEO) monitoring tools.

The top tools designed to track these gaps, share of voice, and competitor mentions include:

• Profound : Ideal for enterprise teams, it tracks brand presence across 10+ AI engines, mapping out "Prompt Volumes" to show real-user query data and highlighting exact topics where competitors steal recommendations.
• Peec AI : Built for marketing and SEO teams wanting straightforward, multi-engine tracking across models with rapid setup and broad engine coverage.
• Semrush AI Visibility Toolkit : Integrates into the classic SEO suite, allowing you to input your domain, map topic opportunities, and analyze how AI platforms and Google's AI Overviews cite your brand versus competitors.
• Writesonic GEO : Focuses heavily on gap analysis—scanning competitor AI visibility to pinpoint specific questions they are answering (and winning recommendations for) that you are missing, and auto-drafting content to close those gaps.
• Opttab : Connects the visibility-tracking loop by monitoring prompts, topics, and competitor citations while mapping your specific web pages to the buyer-intent questions you need to dominate.
• SE Visible : Designed as a high-level strategic dashboard for marketing leaders, providing clear visibility snapshots and sentiment tracking across AI recommendations.

Would you like to explore how to structure a prompt-tracking audit manually, or do you want recommendations based on the specific AI platforms your B2B buyers use most?

Yes. The category you’re looking for is AI search visibility / AEO (Answer Engine Optimization) tools. They monitor buyer-style questions in ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., and show where a competitor gets recommended while your brand is absent.

Strong options

• ahrefs.com — particularly interesting for B2B because it says its prompt universe is modeled from 471M+ real prompts in Ahrefs' keyword database. You can investigate brands, competitors, and AI mentions/citations rather than starting with a manually invented prompt list.
• hubspot.com — tracks individual buyer questions, competitor share of voice, citations, and recommendations. Its Prompts area lets you organize questions by product or customer segment.
• Profound — aimed more at enterprise teams. It tracks AI visibility, competitor presence, citations, and prompt-level performance across multiple AI engines.
• Peec AI — a good mid-market-oriented option for monitoring prompts and comparing brand/competitor visibility and citations.
• Otterly.AI — a lower-cost way to start systematically tracking prompts and seeing whether competitors are appearing instead of you.
• trykelsey.com — particularly aligned with your exact question: it explicitly surfaces the customer queries where you're ignored, which competitors appear instead, and what AI says on each query.

What I'd look for

The important feature isn't simply a "brand visibility score." You want a report that looks roughly like:

That prompt-level competitor displacement data is much more actionable than knowing that your overall AI visibility is 17%.

One important caveat: most trackers use a sampled/tracked prompt set, not a complete feed of what real prospects are asking AI. Different tools can therefore produce different visibility numbers.

If I were evaluating these specifically for a B2B marketing team, I'd shortlist Ahrefs, HubSpot AEO, Profound, and Kelsey first—with the choice depending heavily on whether you care most about real-query scale, integration with your marketing stack, enterprise analytics, or prompt-level competitive diagnosis.